癌症的基本特征包括细胞增殖、血管生成、迁移、凋亡逃避机制和细胞永生等。找到癌症发生过程中这些通路的关键标记物和对应的抗体用于检测至关重要。
为您推荐一个泛素化位点预测神器——泛素化分析工具，可以为您的蛋白的泛素化位点作出预测和评分。
细胞自噬受体图形绘图工具为你的蛋白的细胞受体结合位点作出预测和评分，识别结合到自噬通路中的蛋白是非常重要的，便于让我们理解自噬在正常生理、病理过程中的作用，如发育、细胞分化、神经退化性疾病、压力条件下、感染和癌症。
ERF Antibody (monoclonal) (M02)
Mouse monoclonal antibody raised against a partial recombinant ERF.
- 产品详情
- 实验流程
- 背景知识
Application 
| WB, IF |
|---|---|
| Primary Accession | P50548 |
| Other Accession | BC022231 |
| Reactivity | Human, Mouse |
| Host | mouse |
| Clonality | monoclonal |
| Isotype | IgG2b Kappa |
| Clone Names | 3F11 |
| Calculated MW | 58703 Da |
| Gene ID | 2077 |
|---|---|
| Other Names | ETS domain-containing transcription factor ERF, Ets2 repressor factor, PE-2, ERF |
| Target/Specificity | ERF (AAH22231, 181 a.a. ~ 290 a.a) partial recombinant protein with GST tag. MW of the GST tag alone is 26 KDa. |
| Dilution | WB~~1:500~1000 IF~~1:50~200 |
| Format | Clear, colorless solution in phosphate buffered saline, pH 7.2 . |
| Storage | Store at -20°C or lower. Aliquot to avoid repeated freezing and thawing. |
| Precautions | ERF Antibody (monoclonal) (M02) is for research use only and not for use in diagnostic or therapeutic procedures. |
For Research Use Only. Not For Use In Diagnostic Procedures.
Provided below are standard protocols that you may find useful for product applications.
BACKGROUND
Members of the ETS family of transcription factors, such as ERF, regulate cell proliferation and differentiation. They share a highly conserved DNA-binding domain, the ETS domain, that recognizes the sequence GGAA/T (de Castro et al., 1997 [PubMed 9192842]). For further information on ETS transcription factors, see ETS1 (MIM 164720).
REFERENCES
The RAS-dependent ERF control of cell proliferation and differentiation is mediated by c-Myc repression. Verykokakis M, et al. J Biol Chem, 2007 Oct 12. PMID 17699159.Differential repression of c-myc and cdc2 gene expression by ERF and PE-1/METS. Hester KD, et al. Cell Cycle, 2007 Jul 1. PMID 17525531.Global, in vivo, and site-specific phosphorylation dynamics in signaling networks. Olsen JV, et al. Cell, 2006 Nov 3. PMID 17081983.A probability-based approach for high-throughput protein phosphorylation analysis and site localization. Beausoleil SA, et al. Nat Biotechnol, 2006 Oct. PMID 16964243.The status, quality, and expansion of the NIH full-length cDNA project: the Mammalian Gene Collection (MGC). Gerhard DS, et al. Genome Res, 2004 Oct. PMID 15489334.
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